IS AI PAYING YOU A DIVIDEND?
Former CIOs from your industry who govern IT and AI as one discipline, independent from your vendors, and strategically aligned to elevate your P&L.
AI is forcing a convergence of technology and business strategy. Mid-market firms that unify these strategically will outpace the firms that think about them separately. Most mid-market AI initiatives fail because the AI strategy was built on a technology foundation that couldn’t support it.
We embed a sector-matched former CIO to lead your AI initiatives, aligning them with the technology that has to support them and the business strategy that has to fund them. The result: AI that actually scales, and a business that actually grows.
We’ve helped clients drive $1.5B+ in tech-enabled revenue, more than our cost savings total, despite it also being over $1.2B · that’s Innovating Beyond Efficiency in practice.
Our Recommended First Step toward Strategic Advantage · Clarity before investment. Know your gaps and opportunities before making a capital investment in tech.
Vendor-Neutral Analysis · No sales pitches for software or hardware; just an honest evaluation of your readiness.
Executive Leadership· Conducted by a former CIO/CTO, not a junior analyst or automated script.
Actionable Roadmap · Prioritized recommendations connecting AI ambitions to your organizational goals, and to the IT and data foundations required to deliver them.
** Our engagements are confidential; references are available upon request.
Two things determine who will capture the "AI Dividend", the efficiencies and competitive advantages enabled by AI: whether or not an industry's customers take the gains as discounts/improvements, and whether or not scale will remain a moat. Click on an industry for our detailed analysis & sector scoreboard.
A customer’s procurement questionnaire now asks who’s accountable for your AI tools, and most leaders aren’t sure they can answer it. Only 7 percent of companies still piloting AI feel ready for a governance audit. This piece maps the 90-day path to a folder full of real evidence, not policy.
Your skepticism about AI results has been rational; the data backs it up. But the surveys measure averages, not disciplined attempts, and waiting has quietly stopped being the safe default. Run one small, bounded test this quarter, and judge AI on your own evidence instead of the headlines.
Every leader has a quick answer for which competitor scares them most, and that speed is the problem. This piece maps five competitor types along a stewardship-to-exploration spectrum, with a scoring exercise to test your own blind spots before deciding whether to transform.
A record CVE count sounds like a crisis, but FIRST’s own data says otherwise: AI is finding old flaws faster, not creating new ones. And it’s doing so for the good guys. The real risk is a prioritization gap, not the raw number. Here’s the filter that matters, and the one question a CEO should ask Monday.
If you shelved enterprise software while AI reshaped the build-versus-buy math, the delay may have paid off. This piece weighs the real evidence on cost, productivity, and code quality against the case for a custom single-pane view, and lays out the guardrails and a 90-day way to test it.
This annual benchmark shows how far mid-market companies in 18 industries have come in data, BI and AI maturity. The 2026 result is a structural lag behind enterprise, so check where your industry and revenue band stand.
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